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6.837 Computer Graphics (MIT) 6.837 Computer Graphics (MIT)

Description

This course provides introduction to computer graphics algorithms, software and hardware. Topics include: ray tracing, the graphics pipeline, transformations, texture mapping, shadows, sampling, global illumination, splines, animation and color. This course offers 6 Engineering Design Points in MIT's EECS program. This course provides introduction to computer graphics algorithms, software and hardware. Topics include: ray tracing, the graphics pipeline, transformations, texture mapping, shadows, sampling, global illumination, splines, animation and color. This course offers 6 Engineering Design Points in MIT's EECS program.

Subjects

animation and color | animation and color | modeling | modeling | transformations | transformations | Bezier curves and splines | Bezier curves and splines | representation and interpolation of rotations | representation and interpolation of rotations | computer animation | computer animation | particle systems | particle systems | collision detection | collision detection | ray tracing and casting | ray tracing and casting | rasterization and shading texture mapping | rasterization and shading texture mapping | graphics pipeline | graphics pipeline | global illumination | global illumination | antialiasing | antialiasing | sampling | sampling

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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4.110J Design Across Scales, Disciplines and Problem Contexts (MIT) 4.110J Design Across Scales, Disciplines and Problem Contexts (MIT)

Description

This course explores the reciprocal relationships among design, science, and technology by covering a wide range of topics including industrial design, architecture, visualization and perception, design computation, material ecology, and environmental design and sustainability. Students will examine how transformations in science and technology have influenced design thinking and vice versa, as well as develop methodologies for design research and collaborate on design solutions to interdisciplinary problems. This course explores the reciprocal relationships among design, science, and technology by covering a wide range of topics including industrial design, architecture, visualization and perception, design computation, material ecology, and environmental design and sustainability. Students will examine how transformations in science and technology have influenced design thinking and vice versa, as well as develop methodologies for design research and collaborate on design solutions to interdisciplinary problems.

Subjects

4.110 | 4.110 | MAS.330 | MAS.330 | design | design | media | media | animation | animation | image | image | data | data | visualization | visualization | representation | representation | database | database | Processing | Processing | fabrication | fabrication | technology | technology | systems | systems | model | model | AI | AI | intelligence | intelligence | programming | programming | optimization | optimization | machine | machine | play | play | game | game | utopia | utopia | future | future | dystopia | dystopia | science fiction | science fiction | environment | environment | growth | growth | organization | organization

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.094 Introduction to MATLAB® (MIT) 6.094 Introduction to MATLAB® (MIT)

Description

This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with a computer running MATLAB for each student. Problem-based MATLAB assignments are given which require significant time on MATLAB. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with a computer running MATLAB for each student. Problem-based MATLAB assignments are given which require significant time on MATLAB. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Subjects

matlab | matlab | simulink | simulink | matlab programming | matlab programming | variables | variables | plotting | plotting | scripts | scripts | functions | functions | flow control | flow control | linear algebra | linear algebra | polynomials | polynomials | optimization | optimization | differential equations | differential equations | ode | ode | probability | probability | statistics | statistics | data structures | data structures | images | images | animation | animation | debugging | debugging | symbolic math | symbolic math | toolboxes | toolboxes | scope | scope | function block | function block | nervous system | nervous system

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.837 Computer Graphics (MIT)

Description

This course provides introduction to computer graphics algorithms, software and hardware. Topics include: ray tracing, the graphics pipeline, transformations, texture mapping, shadows, sampling, global illumination, splines, animation and color. This course offers 6 Engineering Design Points in MIT's EECS program.

Subjects

animation and color | modeling | transformations | Bezier curves and splines | representation and interpolation of rotations | computer animation | particle systems | collision detection | ray tracing and casting | rasterization and shading texture mapping | graphics pipeline | global illumination | antialiasing | sampling

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.094 Introduction to MATLAB (MIT) 6.094 Introduction to MATLAB (MIT)

Description

This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with students doing sample MATLAB problems in real time. Problem-based MATLAB assignments are given which require significant time on MATLAB. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. Acknowledgements The 6.094 course materials were developed by Danilo Šćepanović, Sourav R. Dey, Ankit Patel, and Patrick Ho. This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with students doing sample MATLAB problems in real time. Problem-based MATLAB assignments are given which require significant time on MATLAB. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. Acknowledgements The 6.094 course materials were developed by Danilo Šćepanović, Sourav R. Dey, Ankit Patel, and Patrick Ho.

Subjects

introduction to MATLAB | introduction to MATLAB | scripts | scripts | making variables | making variables | manipulating variables | manipulating variables | functions | functions | flow control | flow control | line plots | line plots | surface plots | surface plots | vectorization | vectorization | linear algebra | linear algebra | optimization | optimization | differential equations | differential equations | data structures | data structures | debugging | debugging | animation | animation | symbolic math | symbolic math | Simulink | Simulink | file input/output | file input/output | graphical user interfaces | graphical user interfaces

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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21W.772 Digital Poetry (MIT) 21W.772 Digital Poetry (MIT)

Description

This class investigates theory and practice of digital or new media poetry with emphasis on workshop review of digital poetry created by students. Each week students examine published examples of digital poetry in a variety of forms including but not limited to soundscapes, hypertext poetry, animation, code poems, interactive games, location-based poems using handheld devices, digital video and wikis. This class investigates theory and practice of digital or new media poetry with emphasis on workshop review of digital poetry created by students. Each week students examine published examples of digital poetry in a variety of forms including but not limited to soundscapes, hypertext poetry, animation, code poems, interactive games, location-based poems using handheld devices, digital video and wikis.

Subjects

Digital | Digital | poetry | poetry | theory | theory | practice | practice | new media | new media | workshop | workshop | soundscapes | soundscapes | hypertext poetry | hypertext poetry | animation | animation | code poems | code poems | interactive games | interactive games | location-based poems | location-based poems | handheld devices | handheld devices | digital video | digital video | wikis | wikis | essays | essays | experimental art | experimental art

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.838 Algorithms for Computer Animation (MIT) 6.838 Algorithms for Computer Animation (MIT)

Description

Animation is a compelling and effective form of expression; it engages viewers and makes difficult concepts easier to grasp. Today's animation industry creates films, special effects, and games with stunning visual detail and quality. This graduate class will investigate the algorithms that make these animations possible: keyframing, inverse kinematics, physical simulation, optimization, optimal control, motion capture, and data-driven methods. Our study will also reveal the shortcomings of these sophisticated tools. The students will propose improvements and explore new methods for computer animation in semester-long research projects. The course should appeal to both students with general interest in computer graphics and students interested in new applications of machine learning, robo Animation is a compelling and effective form of expression; it engages viewers and makes difficult concepts easier to grasp. Today's animation industry creates films, special effects, and games with stunning visual detail and quality. This graduate class will investigate the algorithms that make these animations possible: keyframing, inverse kinematics, physical simulation, optimization, optimal control, motion capture, and data-driven methods. Our study will also reveal the shortcomings of these sophisticated tools. The students will propose improvements and explore new methods for computer animation in semester-long research projects. The course should appeal to both students with general interest in computer graphics and students interested in new applications of machine learning, robo

Subjects

algorithms | algorithms | computer animation | computer animation | keyframing | keyframing | inverse kinematics | inverse kinematics | physical simulation | physical simulation | optimization | optimization | optimal control | optimal control | motion capture | motion capture | data-driven methods | data-driven methods

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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CMS.950 Workshop I (MIT) CMS.950 Workshop I (MIT)

Description

This course fulfills the first half of the Comparative Media Studies workshop sequence requirement for entering graduate students. The workshop sequence provides an opportunity for a creative, hands-on project development experience and emphasizes intellectual growth as well as the acquisition of technical skills. The course is designed to provide practical, hands-on experience to complement students' theoretical studies. This course fulfills the first half of the Comparative Media Studies workshop sequence requirement for entering graduate students. The workshop sequence provides an opportunity for a creative, hands-on project development experience and emphasizes intellectual growth as well as the acquisition of technical skills. The course is designed to provide practical, hands-on experience to complement students' theoretical studies.

Subjects

Comparative | Comparative | media | media | studies | studies | workshop | workshop | visual narrative | visual narrative | digital | digital | images | images | Web gallery | Web gallery | soundscapes | soundscapes | storytelling | storytelling | digital video | digital video | Flash animation | Flash animation | machinima | machinima | games | games | class blog | class blog | location-based narratives | location-based narratives | handheld devices | handheld devices | PDA | PDA | cellphones | cellphones

License

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6.837 Computer Graphics (MIT) 6.837 Computer Graphics (MIT)

Description

6.837 offers an introduction to computer graphics hardware, algorithms, and software. Topics include: line generators, affine transformations, line and polygon clipping, splines, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and animation. Substantial programming experience is required. This course is worth 6 Engineering Design Points. 6.837 offers an introduction to computer graphics hardware, algorithms, and software. Topics include: line generators, affine transformations, line and polygon clipping, splines, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and animation. Substantial programming experience is required. This course is worth 6 Engineering Design Points.

Subjects

data structures; algorithms; presenting data visually; programming; computer graphics; computer graphics applications; ray tracing; ray casting; transformation; hierarchy | data structures; algorithms; presenting data visually; programming; computer graphics; computer graphics applications; ray tracing; ray casting; transformation; hierarchy | data structures | data structures | algorithms | algorithms | presenting data visually | presenting data visually | programming | programming | computer graphics | computer graphics | computer graphics applications | computer graphics applications | ray tracing | ray tracing | ray casting | ray casting | transformation | transformation | hierarchy | hierarchy | illumination | illumination | shading | shading | acceleration structures | acceleration structures | animation | animation | image-based rendering | image-based rendering | curves | curves | surfaces | surfaces | key frames | key frames | perspective | perspective | rasterization | rasterization | clipping | clipping | visibility | visibility | rendering | rendering | radiosity | radiosity | colors | colors | altialiasing | altialiasing | texture mapping | texture mapping | procedural textures | procedural textures | shadows | shadows | graphics hardware | graphics hardware

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.838 Algorithms for Computer Animation (MIT) 6.838 Algorithms for Computer Animation (MIT)

Description

Animation is a compelling and effective form of expression; it engages viewers and makes difficult concepts easier to grasp. Today's animation industry creates films, special effects, and games with stunning visual detail and quality. This graduate class will investigate the algorithms that make these animations possible: keyframing, inverse kinematics, physical simulation, optimization, optimal control, motion capture, and data-driven methods. Our study will also reveal the shortcomings of these sophisticated tools. The students will propose improvements and explore new methods for computer animation in semester-long research projects. The course should appeal to both students with general interest in computer graphics and students interested in new applications of machine learning, robo Animation is a compelling and effective form of expression; it engages viewers and makes difficult concepts easier to grasp. Today's animation industry creates films, special effects, and games with stunning visual detail and quality. This graduate class will investigate the algorithms that make these animations possible: keyframing, inverse kinematics, physical simulation, optimization, optimal control, motion capture, and data-driven methods. Our study will also reveal the shortcomings of these sophisticated tools. The students will propose improvements and explore new methods for computer animation in semester-long research projects. The course should appeal to both students with general interest in computer graphics and students interested in new applications of machine learning, robo

Subjects

algorithms | algorithms | computer animation | computer animation | keyframing | keyframing | inverse kinematics | inverse kinematics | physical simulation | physical simulation | optimization | optimization | optimal control | optimal control | motion capture | motion capture | data-driven methods | data-driven methods

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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21G.039 Japanese Popular Culture (MIT) 21G.039 Japanese Popular Culture (MIT)

Description

This course examines Japanese popular culture as a way of understanding the changing character of media, capitalism, fan communities and culture. Topics include manga (comic books), hip-hop and other popular music in Japan, anime (Japanese animated films) and feature films, sports (sumo, soccer, baseball), and online communication. Emphasis will be on contemporary popular culture and theories of gender, sexuality, race, and the workings of power in global culture industries. This course examines Japanese popular culture as a way of understanding the changing character of media, capitalism, fan communities and culture. Topics include manga (comic books), hip-hop and other popular music in Japan, anime (Japanese animated films) and feature films, sports (sumo, soccer, baseball), and online communication. Emphasis will be on contemporary popular culture and theories of gender, sexuality, race, and the workings of power in global culture industries.

Subjects

japan | japan | popular culture | popular culture | media | media | capitalism | capitalism | comics | comics | hip-hop | hip-hop | music | music | animation | animation | movie | movie | sports | sports | sexuality | sexuality | race | race | gender | gender | fan communities | fan communities | culture | culture | manga | manga | pop | pop | popular music | popular music | anime | anime | Japanese animated films | Japanese animated films | power | power | global culture industries | global culture industries | 21F.039 | 21F.039 | 21F.037 | 21F.037

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.094 Introduction to MATLAB (MIT)

Description

This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with students doing sample MATLAB problems in real time. Problem-based MATLAB assignments are given which require significant time on MATLAB. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month. Acknowledgements The 6.094 course materials were developed by Danilo ??epanovi?, Sourav R. Dey, Ankit Patel, and Patrick Ho.

Subjects

introduction to MATLAB | scripts | making variables | manipulating variables | functions | flow control | line plots | surface plots | vectorization | linear algebra | optimization | differential equations | data structures | debugging | animation | symbolic math | Simulink | file input/output | graphical user interfaces

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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Fundamentals of Materials Science: Diffusion

Description

This set of animations provides an introduction to the mechanisms and driving forces of diffusion. It demonstartes some of the processes in which it is observed. From TLP: Diffusion

Subjects

diffusionsubstitutional | interstitial | random walk | Fick | law | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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Fundamentals of Materials Science: Materials for Nuclear Power Generation

Description

This set of animations provides better understanding of the materials used in nuclear power generation. From TLP: Materials for Nuclear Power Generation

Subjects

nuclear | reactor | power | cross-section | displacement spike | dislocation loop | moderator | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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Techniques for Studying Materials: Examination of an Artefact

Description

This set of animations provides guidance in physically examining an artefact including vitrual examination of an artefact. From TLP: Examination of an Artefact

Subjects

artefact | manufactured article | component | examination | material | identification | polymer | metal | alloy | ceramic | composite | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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Techniques for Studying Materials: Atomic Force Microscopy

Description

This set of animations provides understanding of what Atomic Force Microscopy is and how it is used. From TLP: Atomic Force Microscopy

Subjects

afm | atomic force microscopy | surface morphology | cantilever deflection | contact | mode | tapping | artefact | nanotechnology | lateral force imaging | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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Techniques for Studying Materials: Indexing Electron Diffraction Patterns

Description

This animation explains origin and behaviour of Kikuchi lines. From TLP: Indexing Electron Diffraction Patterns

Subjects

diffraction pattern | kikuchi line | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

License

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Techniques for Studying Materials: Microstructural Examination

Description

This set of animations consists of interactive phase diagrams of Fe-C, grey cast iron, white cast iron, alpha brass and alpha-beta brass. From TLP: Microstructural Examination

Subjects

micrograph | microstructure | metallography | metallographic | phase diagram | phase transformation | eutectic | eutectoid | peritectic | steel | martensite | ferrite | cementite | austenite | pearlite | cast iron | spheroidal cast iron | grey cast iron | white cast iron | brass | alpha brass | alpha beta brass | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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21F.039 Japanese Popular Culture (MIT)

Description

This course examines Japanese popular culture as a way of understanding the changing character of media, capitalism, fan communities and culture. Topics include manga (comic books), hip-hop and other popular music in Japan, anime (Japanese animated films) and feature films, sports (sumo, soccer, baseball), and online communication. Emphasis will be on contemporary popular culture and theories of gender, sexuality, race, and the workings of power in global culture industries.

Subjects

japan | popular culture | media | capitalism | comics | hip-hop | music | animation | movie | sports | sexuality | race | gender | fan communities | culture | manga | pop | popular music | anime | Japanese animated films | power | global culture industries

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Techniques for Studying Materials: Optical Microscopy

Description

This set of animations consists of interactive diagrams of reflection and transmission microscopes. From TLP: Optical Microscopy

Subjects

metallography | microscopy | specimentransmission microscope | reflection microscope | polarised light | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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Techniques for Studying Materials: Raman Spectroscopy

Description

This set of animations provides understanding of Raman Spectroscopy, rule of mutual exclusion, spectral resolution and the interactions of light with a molecule. From TLP: Raman Spectroscopy

Subjects

raman | scattering | spectroscopy | active mode | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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Techniques for Studying Materials: Reciprocal Space

Description

This set of animations shows the relationship between a real lattice and the reciprocal lattice. It introduces the Ewald sphere and the explanation of reciprocal absences. From TLP: Reciprocal Space

Subjects

reciprocal | space | Ewald sphere | lattice | Bragg equation | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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Techniques for Studying Materials: Virtual experiment for Young's modulus

Description

This animation presents a virtual experiment for Young's modulus. From TLP: Thermal Expansion and the Bi-material Strip

Subjects

Young's modulus | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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Techniques for Studying Materials: Transmission Electron Microscopy

Description

This set of animations assists in the understanding of the principles of TEM. From TLP: Transmission Electron Microscopy

Subjects

Transmission | electron | microscopy | TEM | source | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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Techniques for Studying Materials: X-ray Diffraction Techniques

Description

This set of animations demonstrates the principles involved in X-ray diffraction techniques. From TLP: X-ray Diffraction Techniques

Subjects

X-ray | diffraction | crystalline structure | crystalline material | unit cell | cell parameter | lattice parameter | Bragg | law | Bragg equation | DoITPoMS | University of Cambridge | animation | corematerials | ukoer

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